Abstract

Seismic imaging in thrust-belt environments like the foothills of the Himalayas benefits significantly from interpretive input to velocities used for time and depth migration. With low fold in the near surface, low signal-to- noise ratios on the image gathers, and complex horizon geometries, automated velocity-model-building tools fail to produce an optimum velocity model for TTI anisotropic depth imaging. In a setting with such under-constrained velocities, geologic constraints are crucial in the interpretation of our velocity model.